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Interpretation of f statistics?

If Calculated Value is greater than Tabulated value, Accept Alternatative Hypothesis & Reject Null Hypothesis. Ho:#0 H1:=0 Not all coefficients are equal to zero.


When do you accept a hypothesis?

You accept an alternative hypothesis when the p-value is greater than the sample a for a confidence level of 95%. The null hypothesis cannot be accepted.


What happens when probability value is greater than alpha value?

When probability value (p-value) is greater than alpha value, we fail to reject the null hypothesis.Probablity value is the probability of obtaining an answer equal to or more extreme than the observed value.Alpha value is the level of significance. It's the value set that determines if a result is statistically significant, or in other words, if it's not likely to have occurred simply due to chance. Alpha value is usually 5%.There are two hypotheses when we conduct a hypothesis test: the null hypothesis and the alternative hypothesis.The null hypothesis acts as a default position. It's usually an assumption that there is no relationship between two events or that a treatment has no effect. In most legal systems, the null hypothesis would be that the defendant is innocent.The alternative hypothesis is what we would assume if we reject the null hypothesis. We reject the null hypothesis when the probability value is less than the alpha value.


Is greater 11.320 or 11.32?

Neither are greater, they are of equal value.


Has a numerator that is greater than or equal to its denominator?

A number with an absolute value greater than or equal to 1.


How can we tell if a fraction is greater than less than or equal to 1 whole?

if the value above the line of the fraction is greater than or equal to the value below the lin, then the fraction is equal to or greater than 1 whole.


Is 4.67 greater than 4.670?

No they are of equal value


What is greater 2.3 or 2.30?

They are both of equal value


What is the definition of greater than or equal to?

greater than means when the # is bigger in place value. equal to means the # is the same as the other #


What happens when p value is equal to alpha value?

You chose whether or ot to reject the null hypothesis. Or you repeat the experiment.


Is 5.3 greater than less than or equal to 5.300?

They are both equal in value


What is the definition of a statistical null hypothesis?

From Triola, 2009, it is: "The null hypothesis (dented by H0) is a statement that the value of a population parameter (such as proportion, mean, or standard deviation) is equal to some claimed value.".